| IDENTIFYING SUITABLE LOCATIONS FOR MANGROVE PLANTATION USING GEOSPATIAL TECHNIQUES AND REMOTE SENSING |
| Paper ID : 1232-GEOSPATIAL (R4) |
| Authors: |
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Roya Sahraei *1, Arsalan Ghorbanian2, Yousef Kanani-Sadat1, Sadegh Jamali3, Saeid Homayouni4 1School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran 2Department of Photogrammetry and Remote Sensing, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran 3Department of Technology and Society, Faculty of Engineering, Lund University, Lund, Sweden 4Institut National de la Recherche Scientifique, Centre Eau Terre Environnement, Québec, Canada |
| Abstract: |
| Mangroves provide numerous environmental benefits, such as carbon sequestration, water purification, climate change mitigation, and flood and Tsunami impact reduction. Despite these unique advantages, mangroves are threatened by the combined adverse impacts of human activities and climate change. Therefore, it is essential to implement reasonable practices to avoid further degradation of mangroves and provide efficient workflows to increase their extent. Accordingly, better plantation policies are principally required for their conservation and rehabilitation. In this study, we desired to detect suitable locations for mangrove plantation in coastal areas of Hormozgan Province, Iran. We considered a relatively new Multi Criteria Decision Making (MCDM) technique to combine ten criteria derived from remote sensing in a GIS environment. The Best Worst Method (BWM), as an MDCM technique, was implemented to determine the relative importance of each criterion. Afterward, all criteria were aggregated using the Weighted Linear Combination (WLC) method to produce a mangrove plantation suitability map. Statistical measures including〖 AUC〗_((98.79)), 〖Overal Accuracy 〗_((95)), and 〖Kappa Coefficient〗_((87.9))indicated the high applicability of the implemented method for mangrove plantation site allocation. The produced map could assist managers in having a profound insight into finding optimal spots to plant mangroves. |
| Keywords: |
| Mangrove, GIS, Remote Sensing, Plantation Allocation, Best Worst Method, Multi Criteria Decision Making |
| Status : Paper Accepted (Poster Presentation) |
